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Introduction to Theoretical Neurobiology
Abstract
The second part of this two-volume set contains advanced aspects of the quantitative theory of the dynamics of neurons. It begins with an introduction to the effects of reversal potentials on response to synaptic input. It then develops the theory of action potential generation based on the seminal Hodgkin-Huxley equations and gives methods for their solution in the space-clamped and non-space-clamped cases. The remainder of the book discusses stochastic models of neural activity and ends with a statistical analysis of neuronal data with emphasis on spike trains. The mathematics is more complex in this volume than in the first volume and involves numerical methods of solution of partial differential equations and the statistical analysis of point processes.
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Citations
Cited by
Emerging concepts for the dynamical organization of resting-state activity in the brain
Deco, G., Jirsa, V. K., & McIntosh, A. R. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn2961 · Cited by 1,798
Correlated neuronal activity and the flow of neural information
Salinas, E., & Sejnowski, T. J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35086012 · Cited by 1,333
Probabilistic decision making by slow reverberation in cortical circuits
Wang, X.-J. (2002) · Neuron · doi:10.1016/s0896-6273(02)01092-9 · Cited by 1,242
A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input
Burkitt, A. N. (2006) · Biological Cybernetics · doi:10.1007/s00422-006-0068-6 · Cited by 1,208
Compte, A. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.9.910 · Cited by 1,143
Metadata
- Authors
- Tuckwell, H. C.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1988-04-29
- OpenAlex
- W60166153
- Cited by
- 1,158
- References
- 0
- FWCI
- 1.05
- Type
- book
- Language
- en
- Open access
- closed
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- Tuckwell, H. C. (1988). Introduction to Theoretical Neurobiology. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511623202
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.